{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 通用教程简介(Introduction To ggplot2)  \n",
    "以前，我们看到了使用ggplot2软件包制作图表的简短教程。它很快涉及制作ggplot的各个方面。现在，这是一个完整而完整的教程。现在讨论如何构造和自定义几乎所有ggplot。它涉及的原则，步骤和微妙之处，使图像的情节有效和更具视觉吸引力。因此，出于实用目的，我希望本教程可以作为书签参考，对您日常的绘图工作很有用。\n",
    "这是ggplot2的三部分通用教程的第1部分，ggplot2是R中的美观（非常流行）的图形框架。该教程主要针对具有R编程语言的一些基本知识并希望制作复杂且美观的图表的用户与R ggplot2。\n",
    "+ ggplot2简介(Introduction to ggplot2)\n",
    "+ 自定义外观(Customizing the Look and Feel)\n",
    "+ 前50个ggplot2可视化效果(top 50 ggplot2 Visualizations)\n",
    "\n",
    "ggplot2简介涵盖了有关构建简单ggplot以及修改组件和外观的基本知识；自定义外观是关于图像的自定义，如使用多图，自定义布局操作图例、注释；前50个ggplot2可视化效果应用在第1部分和第2部分中学到的知识来构造其他类型的ggplot，例如条形图，箱形图等。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3 ggplot2入门笔记3—通用教程如何自定义ggplot2\n",
    "在本教程中，我将讨论如何自定义一个情节的6个最重要美学的外观。总而言之，它提供了一个相当全面的列表，详细说明了如何完成自定义任务。该章节主要内容有：\n",
    "1. 添加图和轴标题(Adding Plot and Axis Titles)\n",
    "2. 修改图例(Modifying Legend)\n",
    "3. 添加文本，标签和注释(Adding Text, Label and Annotation)\n",
    "4. 翻转和反转X和Y轴(Flipping and Reversing X and Y Axis)\n",
    "5. 分面：在一个图形中绘制多个图(Faceting: Draw multiple plots within one figure)\n",
    "6. 修改图背景，长轴和短轴(Modifying Plot Background, Major and Minor Axis)\n",
    "\n",
    "**参考文档**\n",
    "> http://r-statistics.co/Complete-Ggplot2-Tutorial-Part1-With-R-Code.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "让我们从midwest数据集中的人口相对于面积的散点图开始。点的颜色和大小分别基于state（类别）和popdensity（连续）列而变化。我们已经在之前的ggplot2教程中做了类似的事情。下面的图表很好地包含了必要的组件，例如标题，轴标签和图例设置。但是如何修改外观？使用该theme()功能可以实现与外观有关的大多数要求。它接受大量参数。R控制台键入?theme，然后自己查看相关参数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"package 'ggplot2' was built under R version 3.6.1\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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vwrnoNEJEh0iWkDUf5+r8i5tH81ID3+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\ngv5uXC2SAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup\n",
    "options(scipen=999)\n",
    "library(ggplot2)\n",
    "data(\"midwest\", package = \"ggplot2\")\n",
    "theme_set(theme_bw())\n",
    "\n",
    "# Add plot components --------------------------------\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "# Call plot ------------------------------------------\n",
    "plot(gg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "传递给theme()组件的参数需要使用特殊element_type()功能进行设置。它们有4种主要类型：\n",
    "+ element_text()：由于标题，副标题是文本项，element_text()因此使用函数进行设置。\n",
    "+ element_line()：同样element_line()用于修改基于线的组件，例如轴线，主要和次要网格线等。\n",
    "+ element_rect()：修改矩形组件，例如绘图和面板背景。\n",
    "+ element_blank()：关闭显示主题项目。\n",
    "\n",
    "有关更多信息，请参见即将进行的讨论。让我们讨论许多与更改绘图输出有关的任务，从修改标题和轴文本开始。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 添加图和轴标题(Adding Plot and Axis Titles)  \n",
    "绘图和轴标题以及轴文本是绘图主题的一部分。因此，可以使用theme()功能对其进行修改。该theme()函数接受上述四个element_type()函数之一作为参数。由于图和轴标题是文本组成部分，因此element_text()可用于对其进行修改。在下面，我更改了大小，颜色，面和线高。可以通过更改来旋转轴文本angle。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"package 'showtext' was built under R version 3.6.2\"\n",
      "Loading required package: sysfonts\n",
      "\n",
      "Warning message:\n",
      "\"package 'sysfonts' was built under R version 3.6.2\"\n",
      "Loading required package: showtextdb\n",
      "\n",
      "Warning message:\n",
      "\"package 'showtextdb' was built under R version 3.6.2\"\n",
      "'showtext.auto()' is now renamed to 'showtext_auto()'\n",
      "The old version still works, but consider using the new function in future code\n",
      "\n",
      "'font.add()' is now renamed to 'font_add()'\n",
      "The old version still works, but consider using the new function in future code\n",
      "\n",
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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NqDAYMIuUB6qM/eLl8qBdJVe24nvy0K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\nGEQASBQCSGkNGEQASBQ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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot 基础绘图\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "library(showtext)\n",
    "showtext.auto(enable = TRUE)\n",
    "# 添加字体\n",
    "font.add('SimSun', 'simsun.ttc')\n",
    "\n",
    "# Modify theme components \n",
    "# 修改主题\n",
    "gg + theme(\n",
    "    # 设置标题\n",
    "    plot.title=element_text(size=20, # 字体大小\n",
    "                            face=\"bold\", # 字体加粗\n",
    "                            family=\"SimSun\", # 字体类型\n",
    "                            color=\"tomato\", # 字体颜色\n",
    "                            hjust=0.5, # 标题离左边距距离\n",
    "                            lineheight=1.2),  # 线条高度\n",
    "    # 设置子标题\n",
    "    plot.subtitle=element_text(size=15, # 字体大小\n",
    "                               family=\"SimSun\", # 字体类型\n",
    "                               face=\"bold\", # 字体加粗\n",
    "                               hjust=0.5),  # 标题离左边距距离\n",
    "    # caption 注释\n",
    "    plot.caption=element_text(size=15),  \n",
    "    # X axis title X轴标题\n",
    "    axis.title.x=element_text(vjust=0,\n",
    "                              size=15), \n",
    "    # Y axis title Y轴标题\n",
    "    axis.title.y=element_text(size=15),\n",
    "    # X axis text X轴文字\n",
    "    axis.text.x=element_text(size=10,\n",
    "                             angle = 30,\n",
    "                             vjust=.5),\n",
    "    # Y axis text Y轴文字\n",
    "    axis.text.y=element_text(size=10))  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面的示例涵盖了一些经常使用的主题修改，并且实际列表太长。如果要更改任何组件的外观，?theme这就是您要查看的第一处。比较常见参数如下：\n",
    "+ vjust，控制标题（或标签）和绘图之间的垂直间距。\n",
    "+ hjust，控制水平间距。将其设置为0.5可使标题居中。\n",
    "+ family，用于设置新字体\n",
    "+ face，设置字体(“plain”, “italic”, “bold”, “bold.italic”)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 修改图例(Modifying Legend)\n",
    "无论何时将绘图的几何图形(如点、线、条等)设置为基于另一列更改美学(填充、大小、列、形状或描边)，如geom_point(aes(ol=state，size=popensity))，都会自动绘制图例。如果要创建美学不变的几何图形，则默认情况下不会绘制图例。在这种情况下，您可能需要手动创建自己的图例。以下示例适用于自动创建图例的情况。  \n",
    "本节主要内容有：\n",
    "+ 如何更改图例标题(How to Change the Legend Title)\n",
    "+ 如何更改类别的图例标签和点颜色(How to Change Legend Labels and Point Colors for Categories)\n",
    "+ 更改图例顺序(Change the Order of Legend)\n",
    "+ 如何设置图例标题、文本和键的样式(How to Style the Legend Title, Text and Key)\n",
    "+ 如何删除图例和更改图例位置(How to Remove the Legend and Change Legend Positions)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 如何更改图例标题(How to Change the Legend Title)\n",
    "现在让我们更改图例标题。我们有两个图例，颜色和大小。大小基于连续变量，而颜色基于分类（离散）变量。有3种方法可以更改图例标题。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**方法1：使用 labs()**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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FLwcakNKq/zJSkQyZe7Ecl7aVsd4iqS43EkwSHe9aud+8VdEMmXexHp6yvIJLtI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\not8AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "# modify legend title\n",
    "# 单独调用labs修改颜色和字体\n",
    "gg + labs(color=\"State\", size=\"Density\")  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**方法2：使用 guides()**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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FLwcakNKq/zJSkQyZe7Ecl7aVsd4iqS43EkwSHe9aud+8VdEMmXexHp6yvIJLtI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\not8AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "# modify legend title\n",
    "# 修改legend\n",
    "gg <- gg + guides(color=guide_legend(\"State\"), size=guide_legend(\"Density\"))\n",
    "plot(gg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**方法3：使用scale_aesthetic_vartype()格式**  \n",
    "scale_estheic_vartype()的格式允许您关闭一种特定美学的图例，而保留其余部分。这只需设置GUIDE=FALSE即可。例如，如果图例用于基于连续变量的点大小，则SCALE_SIZE_CONTINUOUE()函数将是正确的。如果您有形状图例并且基于分类变量，您能猜出要使用什么功能吗？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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tuEIUdYQRCJhtI2YcgRVhBEoqG0TRhy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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "# Modify Legend 修改图例\n",
    "# guide = FALSE turn off legend for size 关闭size的图例\n",
    "# scale_color_discrete(name=\"States\") 设置离散颜色变量的图例\n",
    "gg + scale_color_discrete(name=\"States\") + scale_size_continuous(name = \"Density\", guide = FALSE)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 如何更改类别的图例标签和点颜色(How to Change Legend Labels and Point Colors for Categories)\n",
    "可以使用相应的scale_aesthetic_manual()功能来完成。新的图例标签将作为字符向量提供给自labels变量。如果要更改类别的颜色，可以将其分配给自values变量，如下例所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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LsS1j6O5LlSsX0r/ahVgkgQpIDoIhmT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\nWwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "gg + scale_color_manual(name=\"State\", \n",
    "                        # 设置标签\n",
    "                        labels = c(\"Illinois\", \n",
    "                                   \"Indiana\", \n",
    "                                   \"Michigan\", \n",
    "                                   \"Ohio\", \n",
    "                                   \"Wisconsin\"), \n",
    "                        # 设置标签对应的颜色\n",
    "                        values = c(\"IL\"=\"blue\", \n",
    "                                   \"IN\"=\"red\", \n",
    "                                   \"MI\"=\"green\", \n",
    "                                   \"OH\"=\"brown\", \n",
    "                                   \"WI\"=\"orange\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 更改图例顺序(Change the Order of Legend)\n",
    "如果要在大小（密度）之前显示颜色（状态）的图例，可以使用guides（）函数完成。图例的顺序order 必须根据需要设置。如果要更改图例中标签的位置，请按照上一示例中所示的要求顺序进行设置。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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aTGcSTnY7SItBZiftUOkfwTyuNIvY+6bndgarcWwsNxJKp2yxAQKSaED5E4jrQI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\nshrMAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "# order设置位置顺序\n",
    "gg + guides(colour = guide_legend(order = 2), size = guide_legend(order = 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4 如何设置图例标题、文本和键的样式(How to Style the Legend Title, Text and Key)\n",
    "图例标题，文本，键和指南的样式也可以调整。图例的键是一个类似元素的图形，因此必须使用element_rect()功能进行设置。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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NQPRIpJgEgKiDQAJhsiEqJFulwg0jTE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\nAiABEAmABPwfnBn3ps1lmYgAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "gg + theme(\n",
    "    # 设置图例标题字体颜色和大小\n",
    "    legend.title = element_text(size=12, color = \"firebrick\"), \n",
    "    # 设置图例内容文字大小\n",
    "    legend.text = element_text(size=10),\n",
    "    # 设置背景色\n",
    "    legend.key=element_rect(fill='springgreen')) +\n",
    "# 设置内部图例圆圈大小和间距\n",
    "guides(colour = guide_legend(override.aes = list(size=2, stroke=1.5))) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.5 如何删除图例和更改图例位置(How to Remove the Legend and Change Legend Positions)\n",
    "图像在情节中的位置是theme的一个方面。因此可以使用theme（）函数对其进行修改。如果要将图例放置在绘图中，还可以使用legend.justification控制图例的铰点。Legend.position是图表区域中的x轴和y轴位置，其中(0，0)是图表的左下角，(1，1)是右上角。同样，legend.justification是指图例内部的铰链点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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Uk9lEItMBFJPZRCLTARST2UQi0wEUk9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\nYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "# No legend \n",
    "# 无图例\n",
    "gg + theme(legend.position=\"None\") + labs(subtitle=\"No Legend\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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V6Ko1oAkin1sBk6nSySNngg27QAJFPq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\nhALo/1h0ZCHXqbbSAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Legend to the left 图例位置在左边\n",
    "gg + theme(legend.position=\"left\") + labs(subtitle=\"Legend on the Left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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RSaQiYiqQ+l0BQyEUl9KIWmkIlI6kMp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\nRAIQAJEABEAkAAEQCUAARAIQAJEABPg/MxZi+m8DJugAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# legend at the bottom and horizontal\n",
    "# 图例位于图像底部，图例水平摆放\n",
    "gg + theme(legend.position=\"bottom\", legend.box = \"horizontal\") + labs(subtitle=\"Legend at Bottom\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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wCpUYEghaa/Z8EDSE4BpEZFghQmgJRmCpAaAaT55ASRQLfxBEieKi/ZECiAlGgK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\ndTgzoHMAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# legend at bottom-right, inside the plot\n",
    "# 图例位于图像内部右下角\n",
    "gg + theme(\n",
    "    # 设置图像标题\n",
    "    legend.title = element_text(size=12, color = \"salmon\", face=\"bold\"),\n",
    "    # 设置图像铰点为图内左下角\n",
    "    legend.justification=c(1,0), \n",
    "    # 图例位置\n",
    "    legend.position=c(0.95, 0.05), \n",
    "    # 图例背景\n",
    "    legend.background = element_blank(),\n",
    "    # 图例填充颜色\n",
    "    legend.key = element_blank()) + \n",
    "labs(subtitle=\"Legend: Bottom-Right Inside the Plot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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NrBlBNI7TjoW/Ky35MzLGkhyKQnoXjcdoC0gyk7kNInNUzOsCRrkIkPFTK57asc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\nmWKkrl2etme2baxIAyn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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# legend at top-left, inside the plot \n",
    "# 图例位于图像内部左上角\n",
    "gg + theme(\n",
    "    # 设置标题名\n",
    "    legend.title = element_text(size=12, color = \"salmon\", face=\"bold\"),\n",
    "    # 设置图像铰点为图内右上角\n",
    "    legend.justification=c(0,1), \n",
    "    legend.position=c(0.05, 0.95),\n",
    "    legend.background = element_blank(),\n",
    "    legend.key = element_blank()) + \n",
    "labs(subtitle=\"Legend: Top-Left Inside the Plot\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 添加文本，标签和注释(Adding Text, Label and Annotation)\n",
    "本节主要内容有：\n",
    "+ 如何在点周围添加文本和标签(How to Add Text and Label around the Points)\n",
    "+ 如何在绘图中的任何地方添加注释(How to Add Annotations Anywhere inside Plot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 如何在点周围添加文本和标签(How to Add Text and Label around the Points)\n",
    "让我们试着添加一些文本。我们将只向人口超过40万的县添加文本。为了实现这一点，我创建了另一个子集数据框（中西部子数据框），其中只包含符合上述条件的县。然后用这个新的数据框作为数据源绘制geom文本和geom标签。这将确保仅为新数据帧中包含的点添加标签（geom label）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Filter required rows.\n",
    "# 获取数据\n",
    "midwest_sub <- midwest[midwest$poptotal > 300000, ]\n",
    "midwest_sub$large_county <- ifelse(midwest_sub$poptotal > 300000, midwest_sub$county, \"\")\n",
    "\n",
    "# Base Plot\n",
    "# 基础绘图\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n",
      "Warning message:\n",
      "\"Removed 14 rows containing missing values (geom_text).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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OpNCdSCJyCpNyVQC56ApN6UQC14ApJ6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\nXg6hFOZIUBEAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot text and label\n",
    "# 添加标签\n",
    "gg + geom_text(aes(label=large_county), size=2, data=midwest_sub) + \n",
    "# 小标题\n",
    "labs(subtitle=\"With ggplot2::geom_text\") + \n",
    "# 无图例\n",
    "theme(legend.position = \"None\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n",
      "Warning message:\n",
      "\"Removed 14 rows containing missing values (geom_label).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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DwBSb0pgcbgCUjqTQk0Bk9AUm9KoDF4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\nTAKkAadT335tL08JSPMjPkCSlHjXLq/S3xMn0B8kc7tJkO79VjN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ezEDVRGrHcrLem4lzN5DMp543r/u/VWgqUDVBFnIFOvhbg5yBNr+1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\nH9mkE1Gr2croAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加标签和透明度\n",
    "gg + geom_label(aes(label=large_county), size=2, data=midwest_sub, alpha=0.25) + \n",
    "labs(subtitle=\"With ggplot2::geom_label\") + \n",
    "theme(legend.position = \"None\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n",
      "Warning message:\n",
      "\"Removed 14 rows containing missing values (geom_text_repel).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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BSQDjbVEyjp7xBTQDrYlEBj8AQk9aYEGoPnHYN0KSRtKuy3lSeB7m+aKkiXywYk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\nCAkIkBASECAhJCBAQkhA/wPtkoOpvIgK3QAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggrepel)\n",
    "# 调用ggrepel库添加标签\n",
    "gg + geom_text_repel(aes(label=large_county), size=2, data=midwest_sub) + \n",
    "labs(subtitle=\"With ggrepel::geom_text_repel\") + theme(legend.position = \"None\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n",
      "Warning message:\n",
      "\"Removed 14 rows containing missing values (geom_label_repel).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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UADQDrLH76/N0eIDjJCOO01eDYUKEA62BSB1uBJP0YCSBV4ItDypllB+m/UDwQ1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\nCnAcqvn2VWAAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gg + geom_label_repel(aes(label=large_county), size=2, data=midwest_sub) + \n",
    "labs(subtitle=\"With ggrepel::geom_label_repel\") + theme(legend.position = \"None\")   # label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 如何在绘图中的任何地方添加注释(How to Add Annotations Anywhere inside Plot)\n",
    "让我们看看如何向图表的任何特定点添加批注。它可以使用annotation_custom()函数完成，该函数接受grob作为参数。所以，让我们创建一个grob来保存您想要使用grid包显示的文本。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "# 基础绘图\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\")\n",
    "\n",
    "# Define and add annotation\n",
    "library(grid)\n",
    "#文本\n",
    "my_text <- \"This text is at x=0.7 and y=0.8!\"\n",
    "#my_grob = grid.text(my_text, x=0.7 and y=0.8, gp=gpar(col=\"firebrick\", fontsize=14, fontface=\"bold\"))\n",
    "#gg + annotation_custom(my_grob)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 翻转和反转X和Y轴(Flipping and Reversing X and Y Axis)\n",
    "本节主要内容有：\n",
    "+ 如何翻转X和Y轴？(How to flip the X and Y axis?)\n",
    "+ 如何反转轴？(How to reverse the scale of an axis?)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1 如何翻转X和Y轴？(How to flip the X and Y axis?)\n",
    "只需添加即可coord_flip()。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing non-finite values (stat_smooth).\"\n",
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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VJtsm0TCWeF45jABNFUjSqQvr5skjqQ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\nzgJSuwuman9Nc7w9UV+IoZuHutTz3667lpsgrb7ksP0VzcxeL+7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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\", subtitle=\"X and Y axis Flipped\") + \n",
    "theme(legend.position = \"None\")\n",
    "\n",
    "# Flip the X and Y axis -------------------------------------------------\n",
    "# 翻转X和Y轴\n",
    "gg + coord_flip()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 如何反转轴？(How to reverse the scale of an axis?)\n",
    "这很简单。使用scale_x_reverse()反转X轴和scale_y_reverse()反转Y轴。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Scale for 'x' is already present. Adding another scale for 'x', which will\n",
      "replace the existing scale.\n",
      "\n",
      "Scale for 'y' is already present. Adding another scale for 'y', which will\n",
      "replace the existing scale.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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BC/3fqHMCvwJ2VLIi0MIu2afzP+cJhk0lbrT+UjkhX/r9ZHpMhBpF3zb8Uf2onM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\nrkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "gg <- ggplot(midwest, aes(x=area, y=poptotal)) + \n",
    "geom_point(aes(col=state, size=popdensity)) + \n",
    "geom_smooth(method=\"loess\", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + \n",
    "labs(title=\"Area Vs Population\", y=\"Population\", x=\"Area\", caption=\"Source: midwest\", subtitle=\"Axis Scales Reversed\") + \n",
    "theme(legend.position = \"None\")\n",
    "\n",
    "# Reverse the X and Y Axis ---------------------------\n",
    "# 反转X轴和Y轴\n",
    "gg + scale_x_reverse() + scale_y_reverse()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. 分面：在一个图形中绘制多个图(Faceting: Draw multiple plots within one figure)\n",
    "让我们对此使用mpg数据集，它位于ggplot2包中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 6 × 11</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>manufacturer</th><th scope=col>model</th><th scope=col>displ</th><th scope=col>year</th><th scope=col>cyl</th><th scope=col>trans</th><th scope=col>drv</th><th scope=col>cty</th><th scope=col>hwy</th><th scope=col>fl</th><th scope=col>class</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>audi</td><td>a4</td><td>1.8</td><td>1999</td><td>4</td><td>auto(l5)  </td><td>f</td><td>18</td><td>29</td><td>p</td><td>compact</td></tr>\n",
       "\t<tr><td>audi</td><td>a4</td><td>1.8</td><td>1999</td><td>4</td><td>manual(m5)</td><td>f</td><td>21</td><td>29</td><td>p</td><td>compact</td></tr>\n",
       "\t<tr><td>audi</td><td>a4</td><td>2.0</td><td>2008</td><td>4</td><td>manual(m6)</td><td>f</td><td>20</td><td>31</td><td>p</td><td>compact</td></tr>\n",
       "\t<tr><td>audi</td><td>a4</td><td>2.0</td><td>2008</td><td>4</td><td>auto(av)  </td><td>f</td><td>21</td><td>30</td><td>p</td><td>compact</td></tr>\n",
       "\t<tr><td>audi</td><td>a4</td><td>2.8</td><td>1999</td><td>6</td><td>auto(l5)  </td><td>f</td><td>16</td><td>26</td><td>p</td><td>compact</td></tr>\n",
       "\t<tr><td>audi</td><td>a4</td><td>2.8</td><td>1999</td><td>6</td><td>manual(m5)</td><td>f</td><td>18</td><td>26</td><td>p</td><td>compact</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 11\n",
       "\\begin{tabular}{r|lllllllllll}\n",
       " manufacturer & model & displ & year & cyl & trans & drv & cty & hwy & fl & class\\\\\n",
       " <chr> & <chr> & <dbl> & <int> & <int> & <chr> & <chr> & <int> & <int> & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t audi & a4 & 1.8 & 1999 & 4 & auto(l5)   & f & 18 & 29 & p & compact\\\\\n",
       "\t audi & a4 & 1.8 & 1999 & 4 & manual(m5) & f & 21 & 29 & p & compact\\\\\n",
       "\t audi & a4 & 2.0 & 2008 & 4 & manual(m6) & f & 20 & 31 & p & compact\\\\\n",
       "\t audi & a4 & 2.0 & 2008 & 4 & auto(av)   & f & 21 & 30 & p & compact\\\\\n",
       "\t audi & a4 & 2.8 & 1999 & 6 & auto(l5)   & f & 16 & 26 & p & compact\\\\\n",
       "\t audi & a4 & 2.8 & 1999 & 6 & manual(m5) & f & 18 & 26 & p & compact\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 11\n",
       "\n",
       "| manufacturer &lt;chr&gt; | model &lt;chr&gt; | displ &lt;dbl&gt; | year &lt;int&gt; | cyl &lt;int&gt; | trans &lt;chr&gt; | drv &lt;chr&gt; | cty &lt;int&gt; | hwy &lt;int&gt; | fl &lt;chr&gt; | class &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| audi | a4 | 1.8 | 1999 | 4 | auto(l5)   | f | 18 | 29 | p | compact |\n",
       "| audi | a4 | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | compact |\n",
       "| audi | a4 | 2.0 | 2008 | 4 | manual(m6) | f | 20 | 31 | p | compact |\n",
       "| audi | a4 | 2.0 | 2008 | 4 | auto(av)   | f | 21 | 30 | p | compact |\n",
       "| audi | a4 | 2.8 | 1999 | 6 | auto(l5)   | f | 16 | 26 | p | compact |\n",
       "| audi | a4 | 2.8 | 1999 | 6 | manual(m5) | f | 18 | 26 | p | compact |\n",
       "\n"
      ],
      "text/plain": [
       "  manufacturer model displ year cyl trans      drv cty hwy fl class  \n",
       "1 audi         a4    1.8   1999 4   auto(l5)   f   18  29  p  compact\n",
       "2 audi         a4    1.8   1999 4   manual(m5) f   21  29  p  compact\n",
       "3 audi         a4    2.0   2008 4   manual(m6) f   20  31  p  compact\n",
       "4 audi         a4    2.0   2008 4   auto(av)   f   21  30  p  compact\n",
       "5 audi         a4    2.8   1999 6   auto(l5)   f   16  26  p  compact\n",
       "6 audi         a4    2.8   1999 6   manual(m5) f   18  26  p  compact"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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wAikHSQSK4BABFIOkgk1wCACCQdJJJr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\nTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "# 载入数据\n",
    "data(mpg, package=\"ggplot2\")\n",
    "# 展示数据\n",
    "head(mpg)\n",
    "# 画图\n",
    "g <- ggplot(mpg, aes(x=displ, y=hwy)) + \n",
    "geom_point() + \n",
    "labs(title=\"hwy vs displ\", caption = \"Source: mpg\") +\n",
    "geom_smooth(method=\"lm\", se=FALSE) + \n",
    "theme_bw()\n",
    "plot(g)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对于整个数据集，我们有一个简单的公路行驶里程(hwy)与发动机排量的图表(displ)。但是，如果您想研究这种关系对于不同类型的车辆如何变化？本文具体介绍以下两种分面方式：\n",
    "+ Facet Wrap \n",
    "+ Facet Grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.1 Facet Wrap\n",
    "facet_wrap()用于针对各个类别将一个大图分解为多个小图。它以公式为主要参数。~左边的项目形成行，右边的项目形成列。默认情况下，所有的图在x轴和y轴上共享相同的标度。您可以通过设置scales=“free”来释放它们，但这样就很难在组之间进行比较。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "g <- ggplot(mpg, aes(x=displ, y=hwy)) + \n",
    "      geom_point() + \n",
    "      geom_smooth(method=\"lm\", se=FALSE) + \n",
    "      theme_bw()\n",
    "\n",
    "# Facet wrap with common scales\n",
    "# 分面\n",
    "# 以为class为列，分为3行\n",
    "g + facet_wrap( ~ class, nrow=3) + \n",
    "# 共享标尺\n",
    "labs(title=\"hwy vs displ\", caption = \"Source: mpg\", subtitle=\"Ggplot2 - Faceting - Multiple plots in one figure\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Q0dc6QeRLKEudbuAJFYtYso2x9GpPOI\nVHj5OyBYVUJE8oYRCZH8MUTyhhEpbGinXtkQ+nV0VfmASNvljUjhcyQPiOQFkTQQSQORvCCS\nBiJpIJIXRNJAJA1E8oJIGoikgUheEEkDkTQQaUVc5PSdIfDtlzd8bpGOvo5yOxBJI1Yk+e4b\nUz4R++ULOx9Ym5n3jj1S6nPggzY4Z48kVIn5pa3k0NjuzzquWST3I9Tz8t5RJNdh3FSkR4X8\napaXjf4yaN8csf2fvp80R2o1j7YQyfOlHll5xyTOFMl5GPcUqffowfRyrh1jRaU16wO+DyZZ\npHWKtNWTPmq5uQuRNhLpV3dzkSx3scXvlztMjxSywUlFGk36hUjyCyGfXwv+/fKEmSNdVKSx\nSsZWcuM5Umt4ZRJJVSp211i1C9nglCKNVTI3j1uu2s32WId2JpEcShVq7Anh/URK34nLiaRM\nP+dmccjctyzxJ2TXH+47TdxGzUohUuYG5xJJe8c3akntkXZPGH0eaV6uC7llayrbo5Rj5IdI\nVxepW5tHUMmhsepF8ufjKjtWKUS6gUj/XN0SInnKDlMKkW4hUmfvlhApoOwpnDzwQ6QyWdQg\n0tIMPCWHxu4o0kqsUpWIZL8gHpEC0q2ZG/7MiBRQtiMcplQdIjmu4x0z4TySM52YuaYSIgWU\n7Q8HLPk5xn6ViMSVDe50xkGJrWTXXgUHbynSSrRSe86RzBfE95lwrZ07nVo38l8zplmLOWk1\nLr5xc5FWApXaWyTzBfG1XMRekoIiGT5lxL9iRLMWc9Jyld5AJFN4m4FflEj695lM6eiRfOks\ntbP8+cKbtZiTlqv8BiK5wyUHfgk9kvSzY45kIFikznPBg2GvECk5ag/nD/wKisSqnSOdq7/2\nqYRIweGsxEM4deCXsGp3+2/s8xM2RxJw/pWYIwWH80Va8ShlH/nFiHT3b+zzELJqp5TsUIlV\nu+BwSZFWgpSKGNqp32eypruVSMJtAUs9hDz90NesrYOHLXxApKS8HTZFzpEM3EwkaWRrmDLa\n0vmbtW0cjkjB4a1FEkCkiC18Ipme6mFLF9KszeNvRAoO7yjSCiJ5t7BWiSJS0NMPw5q1QaVr\ninT0yfbtQKRYkdYOqeTTD9fBQo3QI3nDPEUoWCTjyK7glzHL3dI1e6SEsv3hS4h0oysbVJHU\n33JFklVCpODwFUS60bV2Ro/KitQJJ2kRKTiMSGcSSV9iKD20m5hUQqTgMCKdSCTDmrf/6Ye+\n4i1B60naoFwR6ZC8mSMFibRe0SA+QzTg6Ydr5oZrfGz7ZjtJa8pKewORDsk7WaR5ZfRqt/Vt\n9dWXpqtO7X8l80laQ1b6G4h0SN6cRwpetfPhFMl4H4SzWVtd4jaKkokRabMyKhHJ2i0hUsnE\niLRZGdWI1JldQqSSiRFpszJqmCMJMV0l5kgFEyPSZmVsI1LMqp0SM5kkb8yq3VZhREovYyOR\nIoNyTFEp0QdE2i5vRDqFSIpKiFQs8QlEcj+vQN4NWyJEWgi9ohWRDsl7O5Fc1zxou2FLhEgC\nq0qIVCxx9SI5r8LTdsOWCJEknBc8bFLiCCJ5w4h0JpG6gGe0ItIheRcQyfw3RSR/8WnN2tMt\nIdIheeeLZPurMkfyFp881XGpVIVI4tP/jPlE7Jc3fA6RvA+I/CUgpbzdqt2el6hPFb5TabEi\nCTec+O806TmpSEJr9bUa77O/m+aXRaUkkWK3qEmk8OLHqnFdoGDZQgg2QoXXdmVDK/x3YZHE\n8VOuSHNeuk1JQ7voLU4p0lg1rkvmLFsIwZ65tuu81m66g/i6Ikkz+qBWYxdJXh2QbEpZbIjf\n4owiNSLa244ttORSXTtKdO5OQKyASPmP/quO6Y8w/pIgkuurL3+pLh1wfLmcSKSmE6raUaJz\ndwJiKSK1wj89n4j98oZP0iPFf/WlbFPiXgZuce8eSRpUO0p07k5ALFEktdFcTKSoOdJAwBxJ\nI0Slm4pUbI6kDqntJTp3xx9LEGn9EhzfE8t8++UNn2LVbsC9amerW3k5z6TTXUUqs2on3t8k\n1HIdIrWGV9cTKeI8UsDyt1UkfTnvlxTyn0eyZz5zTpECgtEJ5yquQqTW+BKREoZ2a0RXaQ7p\neylnZ8/ccCSpG1xFpJAHS+52HkkY0iHSiPvKBst82BDRl8YNeyknsmduOpLUDa4jUuf5fuf0\nErnWzhvOvNYuXKQBySVEKi+Sr1tCpK3y3lck39I4IuUndK6VItJWeede/R0wR9Kx28QcqUBC\nx0IpIm2Vd/ZtFL5VO0vIphKrdkUS2lRCpK3yPvThJ85h3kC+J/cUKeW70hEpJ/HxDz9xuoRI\nGQkN1YpIW+VdwzMbHAsQ1YgkngVolfdc6Y4UyaASIm2Vdw0iDZhtqkWk5Xy0esq+/Fdfjvgv\nEQrMNLw+1ZjxQjJEsoSrEakzunRXkca6s9Sgu2K1TEWVIkQSS0Ekb/j4OZKCbFMtIg0ot3tu\nKFIjYglGZLp+NIWLJJWCSN7woat21hwcs6bQLII3iBNJfTyOfq9jCSSRLMGY/JbPpehdGH9B\nJG94w0fmOP7Y9tASkTumQgSUa79DVr2/8Tw9Uhf0jFZ6pJzEhwzt5pCeg3Jlg79jiuqRzLv0\nr7NNCGRa5cVZ5kgzPpWYI+UkPmKxYQlpOciJpt+cLsWIZNmlf2F332u3qp1j1U4k7jOpYdXu\nWiIVO9GUJVK7/r+HSFsldKjEeaScxKcQacBs014iCfIYFhvs6WoTydEtIVJO4rrnSEoWBpV2\nmiMtt3wuVzgIrx3pKhSps92zhEg5iY9Z/m4yntkg2xS3/G3cpX9K5DLX2jmCkaPkYiKVWn6t\nj2Nuo5iIP8czo/RMOTsRfh7Jw5lE6gx3pdMj5SQ+5MY+fTfit5CnTBk7cVeRtOVwRMpJvPet\n5pbdSNzCsZwXvBO3FUlVCZFyEp9bJGE91+gSInmCYsUhUk7i04vUaTeuCzYhkj8Ysm6DSN7w\naedI4gZjUSabzjVHEvd1RwMdY+MJRPKGva3GdGtod/iqnbLBXJSu0plW7STr9+3KPCohkjfs\nazWmO9qmdD6RQi1wEOqitJ1sk1SG/TySwFEiyePQvceETpMQyRvOFck1dsoWKXR0aNjOPmXy\n7sU9RVrWbUwhRPKGg1pNq3nkX2zw74R3g9D1CvN2+pTJkh8iLTGbSojkDQeLtE6RXF99WZTQ\nzB3byTaF5XfHOdIcs8yVEMkbDmk1sV99GbgTG/dI8waaSr69uN2qnRQzqoRI3nCoSPKL+udI\nShmmpXHbXmx49/0pWKppfQuRvOGAVmP8FsOKV+2sZVhUqqdHqiahWkuI5A37W41+a+iULt8T\n7wahWYTabOyYEMkQkz9tEMkb9p+QXX8YvrEvZyfKiRQ5vlRsQiRzDJFiEnvPI6m3hq7pqhEp\nfsXDNWVCJB1E8oY3vEO2YpEGbDYhkgYiecM3FmnAYBIiaSCSN3wFkfLW4LXT+YikES2SeKmz\nMZ+I/fKGEWn3VTv7FohUUqR5jdf2xDLt74VIGTtRlUgC1xFJr5Y6RNJHEIiUsRO1DO0uK5Kh\nWvacI7XKzyUfw5wWkTJ2oorFBsMWVxHJVC3HiSRc6rzplc5HgUiI5I+liDRdEWNYbKBHEkAk\nDUSSsFzqvOxZ8H55w4jEHCktdoY5ku1S53nPwvfLG0YkVu3SYtWv2jkudY4u2x8+t0hHT+62\n4zoiFUsYf0JW+IFILurqkYqWgUga0eeR7Jc6x++XN4xIiJQWq14kfz7hZfvDiIRIabHzinRh\nqBINqkRjOcg8kVJJ/ZMcnLgUBXYiP4uDayK5+EoTItIBIFK1PiQnRKQDQKRqfUhOeIxIABcD\nkQAKgEgABUAkgAIgEkABEAmgAPuKJF6qp1y2F5e407/ha8OSS1FgJ9Qs4vOorib2SdjFthix\nxICUu4okXjyuXkgelbh/FVUtWSWXosBOSMmSjqG6mtgnYRfbYuQi/ZxVpDauOqtrPoi0t0iR\nLUYu0s/+Iomvo0USfokXKbXkohRow63046CdyGffIVpsi4ktbGeR1uFmgkji4D5apIySi1JQ\npPT5AiKFpwus5X1FGu4NnF53XaRISuI4kcQUh02xxX0Qf9k3i0o+UpJnOskdS/ZQ2MUp50jx\nDaCKmYFYbgGR9F9is6iiJnZJmXmklxWpjR3W1CJSK70oMGg/rUj5M7yoJNEtJrbEU4rUKS83\nLrkcrfwqZSdys6iuJuKTpe4xQztjghOKpO596hhlfRmfQ3U1EZ9ud5GqW2xYv2ZJeJ2UuIut\nlqySC7E+iyl5Jwpl0WXlkE/6QOuYKxsCNuNaO4ACIBJAARAJoACIBFAARAIoACIBFACRAAqA\nSAAFQCSAAiASQAEQCaAAiARQAEQCKAAiARQAkQAKgEgABUAkgAIgEkABEAmgAIgEUIA8kf67\nMFSJBlWisRxkpkiflyW51Ry949tBlWggkhdajQZVooFIXmg1GlSJBiJ5odVoUCUaiOSFVqNB\nlWggkhdajQZVooFIXmg1GlSJBiJ5odVoUCUaiOSFVqNBlWggkhdajQZVooFIXmg1GlSJBiJ5\nodVoUCUaiOSFVqNBlWggkhdajQZVonEekZ6ML3eg2lZzWI1UViU7H7yZ84h0GHW1GjOIdEhi\nAUTyUlerMYNIhyQWqFqkp8+np8eBDv/1R/y0vHya4v0bT+uWm1BXq/kUq0E4/s+lWp62rY6e\ng6tEPuj1aJ/kn0rzMW70VKqi6hbpaflvsmZ+OYu01OVSseWpTyShRj6Xl9KvG1ZHz7FVIh60\n3CxM7z95NiqyS7WLJP73pL18WjdbtyxPfSJN/z1pVaC2kq2oQKRPuxN6LahVom5cgNOLNPXQ\ny5blOYdI9lazAYcP7cYf03+RIgkt5rNcLZ1VJLHpIFLftO7TI32KY9dokZ4MGxfg5CLt0XIO\nbzUq5qGd1qSuLJLxaINEMm5cgNOKJHzE3E6kVRv5o2WtjuVDZhsqmCMZjtbmzPiLWkXiRgU4\nuUjDmubtRLIuf6/VcYflb+1oteXvT7HNyImWje6w/F0HFYqUv0Ue1VWJn/2qBJEsVNdqECkB\nRDqc6loNIiWASIdzwlazNVSJBiJ5odVoUCUaiOSFVqNBlWggkhdajQZVooFIXmg1GlSJBiJ5\nMbaa9oH4c37drpvcrUpoJSOIZMHUatrpv3b5Rfh5zyqhlUwgkgVE0ggRaemw79ZJI5IFa6tR\nBFI8umWVCJUjfcbcqUr4VnMb1rYi/xQ+fY/e483xtoe2M4p0YZaDzBTJ+O4/d6K88La5r2Fb\nq1FHdGrLcbW2Sg4tJdzHvSJNo16tk3Znbw+lRApn5ykIkbzhUJHUXxBJ76T/XRZE8oYtrca8\nxIBIPa3wT60SeqQRYRlGbEK3E0mvBIZ2M3JNIJIJoY5ak0hNI+aT9SeTs7Ilt2+1qUiGDxN1\nUrCkM+zixUVqW/PnrU2kqYbuKVJrajVNI7WanD+ZkpUluWOrLUWaW8rSYuYZgbCN8Nmi7eK1\nRRqIGNrNNXQnkQamOtJbTdPIrSbjT6ZmZU7u2mrrxQYf4meLuos3EkltJXr2Sw3dXCRhPWaq\nkhKrIGFZFSzQCiJp8agrG4T3EEnC9llDjyRxc5FMIJKEeo1Z191ujhTCzedIJpgjiSxn2lpl\nGjnkcpNVuwDuu2pnhVU7gdbw6obnkfzc9zySFc4jrbTGl4ikg0gaiLQgDukQyQkiaSCSF0TS\nQCQNRPKCSBqIpMHV3/4qMr6LSGmFX1Ykd/b0SIhkAJE0EMkLImncYhwTWSUdInlY8/kVVnh+\nuHqR0gunRyoQOblIvxbchXv2LSCMSIeEEckY2lCk2Sb3DqSHEemQ8BYi3fISITPC0E4nYd8C\nwoh0SHgDkW560aoRvWoDhEKkxPi1RLrtbRQmLKt2bpsQKTGOSAGRS4k0/G+16XiRrDdhCAFE\n0uKIpIX2PI8UPnkypY6OB4SttwWKAUTS4mVvNWeOJBB8QrbcWkR+e7HeqC4FEEmLB1RJG/EU\nIVbtVuJO4xts2ugcvBPro1OkACJpcX+VtDxpNY2kS4Q8vRM9Uo3hIJHEh+gjUgwZ19pZbWKO\nVGM4USQeoh9G7kWrJptYtasxHCISD9FPptDV3xFLEbs1J+Oh2b6MWdjkviIt/iBSNCVvowi1\n6UCRTN8ha/02iuKP4wp54N9m4RCRlkejD7+tAUTyUvx+pACbTiJS8QdEhjyCdrtw2KodPVIi\nm93Y57DpyKFdT/0oHbAAABncSURBVJhIxR9Z7H+YMyJtkN3ZRRowd0/1iiQuUVlPVqVSPMN4\nCl/ZoNd5iQgiWcJRCxEFC7e1GvUjlx7JCyJ52euZDRE2VSJS3/B/3XCOZAKRvOz98JMAnzYW\nqZX/c63a6bt37VU7K4jk5ZCnCLlt2lakdv3fJ1Kn71yeSIeGEckYOrVIw/9WmzYVySCPXaRO\n8xyR4kpGJCdFRJqIXYrIE2n9Eub5CofOuESl715Q4YhUIIJIgWFDPMam7MUGH2o6cY8QKa5k\nRHJSXKSBQJt2F0nslhApruQLimS6WrOrSqQZj1AHiNQZZku+0qsLZ4l05FnkbYkVyXSR2VBF\ntjp3UUIkz3fI2m0KST1Q+DaKoCncVUVyZ3+nHqk2kYK+1dxoU3Dq8vcj+VVCpPxI3SINtMrP\n7jCRXJfLhKxFhKTe4sY+W7c0780//S3zzhkpltoWRyQtVECkI28iTriAU7fJk2CjO2RNKi1e\n/9PfUpK7KJXaGkckLZQikqFDOkePtOJZiJBSb3aruVb0ejT/9LfMO2fPPT+1PY5IWujkIoXN\ncqxhh087iNSp3dIdRRJ372YimTyqdtUuILXZpn1EkrulG4ok7d+9RDJ6VON5pLiwNnFaItuK\nJBZ9vzmSbPqtRDJ7dH6RJo4QSSj1bqt29xVpeT5MK1/acBWRBgqJFLX+GLqGWAWIpIUueK1d\n6fAOPdKIcYYWnnyncFCPJF5I5nz4yY3nSGYQSSNaJOPAMib5LuEQkeQnRK6waucFkTQSROoC\nr2q9kEhhJSOSE0QyYTtFHJh863DwYkOreYRIfhBJI1Wkzt8tnUakdYrEt1GEgUgaGSItz3VJ\nS16BSG3UN/Z5S6ZHcoJIrrhDpfpF6qz3CCCSE0TSyBVpVkk/pXqO59qFicSqnQwiaeSLZJkr\nOS7UDcp9v1U7/9Du+ueRnn9/2lPqIJJGAZGMKrluHQnKfV+RnA/Rv8GVDY/Da98+7IkVEEmj\niEhNo62Gn0Ak1yNy7ibSz9/X/hBf/n7bMxA4qUghN2EcLFKzuiS8VblIFu4oUs/He/s4yueQ\nfumcIgXdFnioSNMuSt1S/XMkG3ecIw18vw8H+mLPY+aUIrk+270irRdlLstTIRfEB+2bGJ93\nUL4BMDR1+XARkdYjuMOq3dfr0B19vjSv9kwmTnnOehLJs5W51QjKRN2itVa9C2N87ZZ2mh1a\n47kiWT6/rinSx8syqvN8AHbd/XqkdtVGf+FIF7Zv1njQJa3Vi2Sr90uK9Nw0r19zSL34UOeU\nImXNkTR/TFdoJu6bIx5wSSsibZFdqkjN+1cXwTlFylm10/zZ7QrN42+mRSQt5DiPFHEW6bQi\nhYSDRZJ+26pHGvB0S7X3SLeaIw1nkV7//tiTSyCS9tuGIv1zu1SvSFOPFrLGczIcq3Zff16H\nM7JhVWSrcxdXEKk1vutIF1J42M5ZVapXpO5+Q7uRd98pixlE2nNoN4ct3RIibZBdhkif/YUN\nz7/tGQggkvEKzdjC5+ZliRvCJpWEdRRfexXjjfpwSmvyAiIZ7g65pkjD5UHMkbpAkXxfxhxW\n+PJBbY4bwo3hqlZhPm/85BcyF+Pza0tYTJ6/2BA5JD2xSI8afA+1qLujSF7iRVqHPMa4ITy9\npai0jp6MY6h/hhyF1+awlDz/EqHIIemJRfoce6Swa78RycCOIimzpfpFcgxJjZxYpG6eI73b\nMxBAJI1dRerEpnkGkUwrJVcVqet+fhvGyEYQSWOvOdL6FxKb5hgwiVDBHEndYX3H7LscHKlG\npK/fL03w9Q2IpLHPqp3S0tem2dS7amfY33lIauHEIr214RZ1iGRgh/NIJvxXteZXe7FbzXuk\nIWn0PlUvEtfazZxMpM57s8X2IoU/RWggx/3qRbJZ5PisiSo8P4xI9rCzaVYnUpfhfvUidcPz\nGrTJpquKogrPDyOSM2xvmjsM7XqiRPJ0SycW6d28eIpIwRwskr1pHiJSyC1a8/7uc712Wawi\ntY39IjtECuFwkTqLS3uIlPgQ/Xj3q++RXOeP4j9rzsyZRTKqVOfQbg5Ful+9SO+N9Uo722dN\nVOH54ep7pGP9b4Zb5/r/l6Zp3SqWbJGM5/nVSzR+aRED1YvUvb7YrrNDpCCO7ZHkKxukpimk\ndl9BZM09d9XOeMWE+OavX6JNxs39e1uBSK4rtYTaQSQXh4qk/QWFhrmmNv6FtxfJWKz6puCS\nuR1697Zykdr1f0RyUZdI3do0txfJc2VDkEiaSta9cezoLhHP0M6CeD8bIrmoTiR99rGZSBbi\nRJJ3+WIiLQ+75soGHzXNkVZklTaaI9kIniNJuM7UnlYkG4ikcfDyd2O7+ls1KWHf8u+Qda3a\n6dhOL3WIVCCMSMlhxyf8PiKZsK8o9AGbSoiUHUakjHDaYGmObyGSZY60RszdEiJlhxEpJ5w0\nWJrjh4jUGXcakbLDiJQXThgszfGjRDLMlhApO4xIueHowdIcP2COpK/hL3tjA5HCwohUIBw3\nWJrj21x+2Fiv+1MiywdAwmWCW4FI3vClRYobLM3xnXskQ6Jlp+mRssMHizRdKqV8GbOwwUlE\n6iIGS3N83zmSOZHj3JI90SYRRAoLmw+tFa457NaX+34bRX640S5pdbX0OXkNInUZ37eGSPvl\n7hGp7S4hktB2fYOlZdN6RNrgQQ+ItF3YNbRrHW+cQCSx8drOeGqbVjFHWiP2vUaksHAVIolT\npOW/09x9P9mxvravh4mb5n4Zs4XVI9Uou2FDdhaV5JKEPDzZxUYQKSzs7ZGi7iwJKvyYHslx\nIc6+PZLaN/n7KuNeSyUJeSR2fdZIWZH2/CDdF+eqnfDqhCKZH6Jvdmm/OZI6WwqbPek7rSyq\nzHkkTcbokfLDVxbJ9hB9k0q7rdqliaR3S4gUFq5BpJMP7Rxh5xy+TpE6+0NeEGm75MVEMiw2\nuNKFFF6BSJ1rDh/1zIbQ59rlzJFWfq2cc44UW3h+uAaR1hYjvHanCym8DpHsc3ifSNqHzMRG\nq3YKgkvmPOKy80YQKSx88WvtPGHjHH4bkZJasTFiUEnqhooVtIYQyRu+t0jGOXxQlbSaR7uJ\nNCDttzwxQqT9ckckAcmkGJHW0e4h56iX2ZJ8PnkLEMkbRqRuVGmNh1RJ0rdRlIwMoaVbokfa\nKjkiRYYTRJJfHCFSt7rEHGmb5IiUFg4USTtf3ZMvkrbgFpKdOstj1W7H3BHJEfdXif0J8Vki\n6aeAArPTFh6Sd8ESQiRvGJG0uP+E7PrD8BD9+JKniOGihODslNkSVzbslDsiOeLe80iOJ8Qf\nJVKnuJS4C7YQInnDiKTFt7kfaXORJJUSd8EWQiRvGJG0+FEipc+RVoyXPUXsgiWESN4wImnx\nw0RKW7VTcaj0z1RGSEGI5A0nt5rtTqMfzXEiRURciazd0j/rol55keTLnicQSYMeSaMakTpb\nt/TPertScZHW2wb46ksniKRRk0jm2dJ+IrV8q3kgiKRRl0idoVvasUdCpEAQSaM6kbRuafc5\n0gkf4pYKImnxa62/rDdbjCTdbsFigzeMSFr8Qj3SwNotHdkjDSCSBiJp1CpSJ8yWmCNtFUYk\nLX5BkaQHPSDSFmFE0uKXFKmzPX8oqCBE8oYRSYtfVSSXShuJxGKDF0TSqF+kf9bvtykvkhFE\n0kAkjTOINK416C4hUm4YkbT49UVqnI/kN2SHSN6wpdXoI1zDg64TC0ekApFMkTrlqgdEyg2b\nD81w7a7h+byJhZ9eJPEh+sLbZxBJPiG7qoRIuWHjoZmu3UWkmblajn9AZEpEPovkuqO2Wb9R\nCpG8YefQTnhletB1YuGIVCBSLjubSnPfhUhB4WCRDn7Q9Y4EzZGuI5KlW1pmU4gUFPaJdNkv\nGrPHE0Q6/WeLeo249YveEckSDhVJ/eXmItXxEP2SEbVbokeKC3tEao3v2tOFFI5IBSLFRerU\n2RJzpKiwWyRlqoRIE9YrMk8tkv71ZXPo9CKlPA89Luw+ISu/Ud13yEbeEBAQDhNpo4fox0S2\nEakzPujh/CIlPQ89LuwSaX3IdVfllzEbq2cHkcTu+nIimR70cHaRXN8ssLFIXioQyVw924u0\n1UP0oyIbitTJ3wZaVKRj1iSlFciNQCQtfuVr7YIj9EiRYUTS4og0ch2RDpwjealApMPmSBau\nJpIQOrtIx63aealBpMNW7cwgkpf7nUfyUoVI5cOIZAwhkjeMSFockbQQInnDiKTFEUkLFRPp\nwlAlGlSJxnKQeSJZKu7A1McWvm3uJ67X0jkn7c2mBSFSycK3zf3E9Vo6Z0TaOjUiVVl46ZwR\naevUiFRl4aVzvodIALcDkQAKgEgABUAkgAIgEkABSorkeLR8QupdC+/EB20lJA4qIDvfjORJ\nVSInT09dOufUvUkqKDBRQZFcT8SOS63e9L954d38ePy0wsMKyM43y4Scgjerk7ScU/cm48PV\nDyLNSaoXqc1JjUgp9XeMSGLRiZWeLlJm4W23uUhr5slJ01MfN6bcKvsUKaKnCxHbbiVS2jC2\nkEjxhV9epMwpUrfZHGnMfoc0KSJF1FphkXJaY5s3TclJPj+jLrnwsFJyJzmZPVKOh1nJfbnH\np0ib7iT1SPsvNmilpgxj1x/pPVJ04foEq7oeqcReHeZhSO4bJ0o/gkNEah2/RaTfXaRW6MQr\nFanNHJ3lFF5jncQPdxLr7wiRWvlV9Oiq0Kpd2p996x6pQL7HDe3ykvvzjk+xx7zqqKFdK7/c\n1QQ1eXJveF2RMidoG4mUOvDYS6QDFhtcj5YPTN4lp85NLvx5LntlQ07JW63aJY24dr2yIXBT\nrrUDKAAiARQAkQAKgEgABUAkgAIgEkABEAmgAIgEUABEAigAIgEUAJEACoBIAAVAJIACIBJA\nARAJoACIBFAARAIoACIBFACRAAqASAAFyBPpvwtTqILhHmSK9HlZEAliQCQLiAQxIJIFRIIY\nEMkCIkEMiGQBkSAGRLKASBADIllAJIgBkSwgEsSASBYQCWJAJAuIBDEgkgVEghgQyQIiQQyI\nZAGRIAZEsoBIEAMiWUAkiAGRLCASxIBIFhAJYqhepKcH/Y/h9fhj+n9bEAliqF2kSSBEgro5\nhUifslB7eIRIEEXtIn0+CZ0QIkGtVC/SpNIs0jK82xpEghhOIJI4R0IkqJPaRZKGdItNO4BI\nEEPtIs3L3/3PT0SCWqlepKNAJIgBkSwgEsSASBYQCWJAJAuIBDEgkgVEghgQyQIiQQyIZAGR\nIAZEsoBIEAMiWUAkiAGRLCASxIBIFhAJYkAkC4gEMSCSBUSCGDJFujCFKhjuQaZI84t/ti1O\nG0AkiAGRLAFEghgQyRJAJIihjEhNY8unEi3iA4gEMRQRqWmsJlWiRXwAkSCGEiI1jd2kSrSI\nDyASxIBIlgAiQQyIZAkgEsTAHMkSQCSIgVU7SwCRIAbOI1kCiAQxIJIlgEgQAyJZAogEMTBH\nsgQQCWJg1c4SQCSIgfNIlgAiQQyZIv3rmUT6dykQCWKgR7IEEAliYI5kCSASxMCqnSWASBAD\n55EsAUSCGBDJEkAkiAGRLAFEghiYI1kCiAQxsGpnCSASxMB5JEsAkSAGRLIEEAliQCRLAJEg\nBuZIlgAiQQys2lkCiAQxcB7JEkAkiAGRLAFEghgCRWofzC+FtxEJYCBMpHb5r2tNIjFHgpsT\nK1Jr6pFYtYO7EzFHasd/ukicR4LbkyzS+I3Fw+MNeGYD3J5wkVrh3ww9EsBAlEjCmsMIcySA\ngWCRhs5oZH2TVTuAgVCRWsMrziMBTISekDW+RCSAkcDzSMKQjhOyABrcRmEJIBLEwI19lgAi\nQQyIZAkgEsSASJYAIkEMzJEsAUSCGLjV3BJAJIiBO2QtAUSCGBDJEkAkiAGRLAFEghg2Fum8\nkydEghi2FenEy3mIBDFsKtKZTzAhEsSQKZL7du0z34OOSBADPZIlgEgQQymRfplzZ44E96CQ\nSL96TNmzage3oKRIJpcq0SI+gEgQQ7GhnUWlSrSIDyASxFBwscHoUiVaxAcQCWIou2qnq1SJ\nFvEBRIIYSi9/q91SJVrEBxAJYtjgPJKkUiVaxAcQCWLY5ITsr5VKtIgPIBLEsNWVDYJL5qSV\n+GINIBLEsN0lQh6VKvHFGkAkiGHj+5HsLlXiizWASBDD9nfInvRMLSJBDHvcan7KM7WIBDGE\nfhvF9Ax9+euRwp/ZcL4ztYgEMcR9q7n6lX26SOrl3tFnarOvFxcyQCTYi8IiaTcgxZ6pzb6D\nScwAkWAv4r7V3CeSfkus5UytrS1n31MrZYBIsBfJIv03oDzoIOAhDes1Dyayn/JQ7DERiAQx\nRH2reXaPNCCcqdVOL9EjwTkpK5J7jrRiV4k5EpySYJFa+b+RiFU7FZtLrNrBGQkVqV3/d4qk\n4g5UfKYWkSCG0BOywo+CIpmuekAkOCGB55Ha6ZKG1CsbXIHAM7WIBBVzwNe6jJMYcVYldkvu\nOdIQdc/DmCPBAewv0rSspqzzzSq5V+2aBWsZrNrBEewu0iyCdubpl+CSJaumMZrEeSQ4nHpE\n6oRuyZIVIkGtVCWS+/50RIJ6qWWOtEatLjFHgnqpYtVOiVpUYtUO6qXabzU/+kwtIkEM1YrU\nHXymFpEghppFUrolRIJ6qVgk5fRS4jwsYFZlDCASxFCvSMvym31B3JrVujIYsM5nDiASxFCt\nSGvzb+SL8QKyWs9VBZx5smSFSBBDpkj5z0awMbX+5dWsUkra5dcIEAliOEePNLxynamVoUeC\nvalWJOEShXXGY3aJORIcTr0iCUttwrUQJpVYtYPDqVgke0BxifNIcDinFKmTr3pAJDics4qU\neqY2OIBIEMO+IgkTFtvERp3OyFnJm9hvBPReYW4uQgggEsSwq0jiEpplqU1bYJOy0jaxLIgr\nZSiZWssQA4gEMewpknRSx3byx26S+axQY1BJKUNNYStDCiASxHB+kQwXECES7M0VRBJckrJC\nJNiNk8+RumViI5yp/cUcCfbm1Kt2QrIeQSWlDFsK4x6MIBLEcN7zSKaA1C1xHgn241oijRQ5\nU4tIEEOwSNMXJG3wbRQbBNw3AiISFCdUpDbwG/tUdg2sUxx1HS++DESCGAJFakO/+lJlz8C6\n6CYtiRtcQiQoTNzQrlXerEqkdWF8OY9kUwmRoDCxIi1zpP8G4p/FsB2TPtKrRaWgZz2IIBLE\nEClS29U7tDP0SMP7hm6JHgkKkzC0q1Uk41MeBuSzS2FlIBLEcCWRzE95GIk+U4tIEMOlRHIG\nRJUQCQpzH5EGws/UIhLEUN2VDfEXrZoujFUCCWdqEQliqO1au/jbKEy3aiiBlDO1iAQxVCaS\n64ak5C9jdpypVV1CJEjjpiLZZkuIBGncVqTO6BIiQRqVibTLHElIoaqESJBGbSJtv2pnO1Or\nZIVIEEN1Ih0QEE7VIhKkgUg96rV4HSJBHIg0QY8EOVxPJNMcyZTCNBlDJEjkciKZVu1MKczL\ng4gEaVxNJNN5JFMKywkrRII0MkUqfr94LpMg+dshEsRAj2TJCpEghquJxBwJDuFyImWt2iES\nJHI9kQoFEAliQCRLAJEgBkSyBBAJYkAkSwCRIAZEsgQQCWJAJEsAkSAGRLIEEAliQCRLAJEg\nBkSyBBAJYkAkSwCRIAZEsgQQCWJAJEsAkSCG6h6iX0sAkSCGUJHair7Wxf1cu0IBRIIYAkVq\nK/p+JPeTVksFEAliiBzaya8OEcn97O9ihSMSxJAs0n8DBZ+2EEroUxkyQSSIIV6koxcb6JGg\nQs4nEnMkqJBokUSPWLUDGIkVSfKI80gAI7EnZOU3EQlgIE6ktpUvbUAkgIHMa+0uTKEKhnuQ\nJ5Kf+PZYZwoAJ4gEUABEAigAIgEUYGuRAG4BIgEUAJEACoBIAAVAJIACIBJAAbYVSXnoUGCi\n+DLikiTtFYCLTUVSn5USlihWpMj80/YKwEl1IrXxCSJBJCjP9nOkyGFXQoJIcAjKc36R4qdI\nHXMkKM3GIsU38qQeKSpJG18IgIe6eqTU6UucSImFANipTCT1XvYNykAk2IDqVu12GNrFFwLg\n4RIiba0egI9rXNmwdQoAD1xrB1AARAIoACIBFACRAAqASAAFQCSAAiASQAEQCaAAiARQAEQC\nKAAiARQAkQAKgEgABUAkgAIgEkABEAmgAIgEUABEOhtNM/6zhOAYqPqzgUhVQtWfDYctiHQc\nVP2J+H5pXtce6XfbPP/phl9em5fvDpGOhKo/Dz9t0zSvs0jvTc+f/pe3x4v2B5GOhKo/D+/N\nS/fzMovUNN/dZ9P2L15+upfmHZGOhKo/D88PdbrvWaS2efsY3m6ar/7tZ0Q6Eqr+PIyezCJ9\nPAZ6z9/a23AMVP15UI35em7aT0SqA6r+PMhDu54/82Tp8fYLIh0JVX8efo+rCssc6bP7mhYb\n+jWI34h0JFT9eTAtfw/6vPTL3x0iHQlVfyK+X8UTsu9t0z486od2L80bJ2SPhao/PehTA/wR\nTg8i1QB/hNODSDXAH+H0IFIN8EcAKAAiARQAkQAKgEgABUAkgAIgEkABEAmgAIgEUABEAigA\nIsF96G882SrrjfIFqI5m+W+jvAFuQCP92CZzgMsjtPVpjDd3Uc10u+T8HJk12I3BMbr+Mv7a\nmDMHuDTrDGkVaPrZGN5ck3XrFsvP+b1lq633HqAi1J6o093RROp8KdTXADfAoIMsUiMv7iES\ngAGvSPr2iASwsE6QEAkgmWZp/aIOTWNxZUkmBVlsAFgmP428iK29KS9/d6JlLH8DZNPYfkEk\ngHBsa+SIBBDB4ot6/SsiARQAkQAKgEgABUAkgAIgEkABEAmgAIgEUABEAigAIgEU4H9abCzE\nfZ81MwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Facet wrap with free scales\n",
    "# 以列作为分块\n",
    "g + facet_wrap( ~ class, scales = \"free\") + \n",
    "labs(title=\"hwy vs displ\", caption = \"Source: mpg\", subtitle=\"Ggplot2 - Faceting - Multiple plots in one figure with free scales\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "那么，您从中得出什么呢？首先，大多数2座汽车的发动机排量较高，而小型货车和紧凑型汽车的排量较低。从沿X轴放置点的位置可以明显看出这一点。另外，随着发动机排量的增加，高速公路里程在所有路段上均下降。在小型和超小型车辆中，这种下降似乎更为明显。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.2 Facet Grid\n",
    "中间行和底部行的标题占据了相当大的空间。facet_grid()将去掉它，并为图表提供更多的区域。facet_grid的主要区别在于不能选择网格中的行数和列数。好了，让我们创建一个网格以查看其随制造商的变化。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LladgqQyqSF985eU2W+nUg2YOVwajHK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\nE1Yp9ROxiQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "g <- ggplot(mpg, aes(x=displ, y=hwy)) + \n",
    "geom_point() + \n",
    "labs(title=\"hwy vs displ\", caption = \"Source: mpg\", subtitle=\"Ggplot2 - Faceting - Multiple plots in one figure\") +\n",
    "geom_smooth(method=\"lm\", se=FALSE) + \n",
    "theme_bw()\n",
    "# Add Facet Grid\n",
    "# manufacturer in rows and class in columns\n",
    "# 添加分面，列为class，行为manufacturer\n",
    "g1 <- g + facet_grid(manufacturer ~ class)  \n",
    "plot(g1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "好吧，让我们创建一个网格，看看它是如何随cylinder而变化的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AKApDcCEiCJACDpjYAESCIASHojIAGSCACS3ghIgCQCgKQ3AhIgiQAg6Y2ABEgi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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "g <- ggplot(mpg, aes(x=displ, y=hwy)) + \n",
    "geom_point() + \n",
    "geom_smooth(method=\"lm\", se=FALSE) + \n",
    "labs(title=\"hwy vs displ\", caption = \"Source: mpg\", subtitle=\"Ggplot2 - Facet Grid - Multiple plots in one figure\") +\n",
    "theme_bw()\n",
    "\n",
    "# Add Facet Grid\n",
    "# cyl in rows and class in columns.\n",
    "g2 <- g + facet_grid(cyl ~ class)  \n",
    "plot(g2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "很好，可以在示例面板中同时布局这两个图表，但我更喜欢gridExtra（）包。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AkgQQQCSAAJIhBAAkgQgQBSAyCxjPenZS4hltSZDaMemNlwD5Cwrh2LScuCDYen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\nSBBEIIAEQQQCSBBEoP8BPXIE84mO/noAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Draw Multiple plots in same figure.\n",
    "library(gridExtra)\n",
    "gridExtra::grid.arrange(g1, g2, ncol=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. 修改图背景，长轴和短轴(Modifying Plot Background, Major and Minor Axis)\n",
    "本节主要内容有:\n",
    "+ 如何更改绘图背景(How to Change Plot background)\n",
    "+ 如何删除主要和次要网格，更改边框，轴标题，文本和标题(How to Remove Major and Minor Grid, Change Border, Axis Title, Text and Ticks)\n",
    "+ 主题组件的继承结构(Inheritance Structure of Theme Components)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.1 如何更改绘图背景(How to Change Plot background)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CnzuyRXZoj17wwAiCDSAVOkJi9KQ6x/\nZwBABJEOqCKdX6tVGmL9OwMAIoh0wBWp+lVpiPXvDACIINIBWaRKk4ZY/84AgAgiHaBFqlNp\niPXvDACIINIBXKQalYZY/84AgAgiHeBFKjdpiPXvDACIINIBX6RilYZY/84AgAgiHVZF+vL9\nR9qD9BepUKUh1r8zACCCSIdVkaZpOv3zX8KDHCFS0Ucdhlj/zgCACCIdVkX6/b+vb/tpXv73\nK5mQ+dCbs7LBooaQPWkdSjZ8pN5N5CCEj1B7jvTft9OfZ/nL9utSF5GWNsXlqXTUtrqSLYjJ\ndxM5COEjVF9s+PXt/Wl+SSNkPvTGrGzTzjDpqI3eJZvi0+8mchDCR6gU6efX95ejHy/T1yRC\n5kNvzNrRlf6iZJEaEeIBABGqRPrv5fOnus3D4UiR0l+ULFIjQjwAIELV5e9p+vrzetMpiZD5\n0FuzfnClvij5HKkNIR4AEKHq8ve3n+ekOeiq3W0SVfJVuyaEeABAhLr3kZLeRTrofaTZJJo0\nxPp3BgBEEOmwKtL7u0hf//c7g5D50NuzCUhSaYj17wwAiCDSYeOq3c9/v76/I5tMyHzo7dkB\nJKg0xPp3BgBEEOmw86HVb/s/58eIlPChoSHWvzMAIIJIhy2Rfrx9sOHL92RC5kNvzz5gT6Uh\n1r8zACCCSIdVkd4/HoR6jnSZbZOGWP/OAIAIIh22Pv39bd+ic6hI2yoNsf6dAQARRDqsivTj\n4xVp77PfwSJ1/b3oBACACCId9s+RviUTMh96e5IBq6dKQ6x/ZwBABJEO21ftfn+HvWp3Nysq\nDbH+nQEAEUQ6bL2P9P1lSvh8Q7xIKz/fDbH+nQEAEUQ6rIr0zynFojOGSIsqDbH+nQEAEUQ6\njPhZu+V5UmmI9e8MAIgg0mH9faTUB0ER6elUaYj17wwAiCDSYf0c6f37GhK21By9jWLjlplK\nbbdRFOXxNooWAIAINSJ9m6ZAkUq2y73dcDOp7ca+0jze2KfSYVWk07T3IbsnQuZDb0zJBu7L\nLReV2m41r8iz9yDeaj5AhLqLDYkPAibS9VzJIrUhxAMAItT9aJf0STtAka5XHSxSC0I8ACBC\n1cWGry/7n7ObEzIfemsqz0muKtWF8DkSBAAgQrFI0/0kEzIfenPWHzftlsLfYDEbX7WDAABE\nGFikekC9SvEdRA5C+Ah1n7VLHFSR6n8venwHkYMQPoK4SEW/DKZlhHgAQASRDtQilf1epXYR\n4gEAEUQ6kItUdaoU30HkIISPYJHeplil+A4iByF8BIv0MYUqxXcQOQjhI1iky5SdKsV3EDkI\n4SNYpM8pMSm+g8hBCB/BIt1NvkrxHUQOQvgIFmk2uSbFdxA5COEjWKT5ZL4oxXcQOQjhI1ik\nx8kyKb6DyEEIH8EiPU3Oi1J8B5GDED6CRVqYdJXiO4gchPAR4EVqu8tnfsvq/eYmJeJKdtsm\nAqo3NG0N8EGY3K6aQC9S232n81u2tlLdqZSIS9ztWgKo3mK7ObgipberJrCL1PabEOa37GxK\nvKqUiEvb4lgEKLklY2BFymhXTbBI5bfsrfLdF6RYpAiARVonZD50qEhzlfZwFqk5wCKtEzIf\nOu4c6TKfJu3jSg7pREDJLekDK5LPkdYJmQ99Drpqdzebl8JngJJDOhFQckvy4Irkq3arhMyH\n3p6D3n7YUim+g8h7MPARLNL+bGxViu8gchDCR7BIKbOqUnwHkYMQPoJFSpsVk+I7iByE8BEs\nUuosqhTfQeQghI9gkdJnQaX4DiIHIXwEi5Qxz6dK8R1EDkL4CBYpax5Viu8gchDCR7BImTM3\nKb6DyEEIH8EiZc+9SvEdRA5C+AgWqWBuKsV3EDkI4SNYpJL5PFWK7yByEMJHsEhlczEpvoPI\nQQgfwSKVTvFvsGiWoA0AIIJIB9RtFPXlEz9jv3a3B5Wqt1EU3W2YgzCmg7dRXB9yY2dWbfnE\nXV/rd5uZVL2xr+xuo4gU08Eb+66PuLVXuLJ84j7kzY3eN5VKdn1XJzgPI1JMB7qt5q+lc1mJ\n4r/fgL1+t/f//m5SOq1tgnEmpgPWyvkVaf0V6fai5FekzfErks+R1u92ueXOpKMTDCOSz5F8\n1W7/q0e2v2uoa4JhRPJVO7+PlAAofk+JaRHiAAARLFIbQOnbs1SLEAYAiGCRWgHKVCJbhCAA\nQASL1AxQZBLbIsQAACJYpIaAApX4FiECABDBIjUFZKvEuAjHAwAiWKS2gI1vZT0owfGEeABA\nBIvUGpCnEukiHAwAiGCR2gNyTKJdhEMBABEsUg9AukrEi3AgACCCReoDSFWJehEOAwBEsEid\nAImnStyLcBQAIIJF6gZIUol9EY4BAESwSB0BCSbxL8IRAIAIYiLNP1W/uz8i625Ls7vBonYR\nSvZuNI4AAIiPkPI8EIk03+e1u2Mv624rc1Vp5ebKRSjZTdg4AgIgPELS88Aj0nzn8d4e8inr\nbqtzOVXqssu6ZH974wgQgOgIac+DRaoS6TxtXXWwSC0A0REs0iEi3X9r1+NYpBaA6AhqIkWc\nI13utqaSz5FaAMIjJD0PRCIdftXu7m7LKvmqXQtAfISU54FJpMgIi6dKaovQBwAQQex9pNgI\nCyrpLUIPAEAEi3Qo4MkkxUVoDwCIYJEOBjyopLkIrQEAESzS4YCZSqqL0BYAEMEiHQ+4P1WS\nXYSmAIAIFikCcDNJeBEaAgAiWKQYwFUl6UVoBgCIYJGiAB8miS9CIwBABIsUBij93v12CRoR\n4gEAESxSIKCFScMvQgsAQASLFAlo8KI0/iLIdLBIHQHVKjEsgkgHi9QTUGsSxSLUAgAiWKRw\nQJ1KJIsQTbBINZOznahThHfArkpFO6JStyrddyja3tTviUyOE38sKYuUscG12y+2/wDsfJdk\n0R7d5M2zdx3KNtx2eyLT44QfS8oipX/lwvrdmnXYUqnoWyPSv87h1qHwKyB6PZEZcaKPJYuE\nItLWz3cWKSxCU4BFOkSkdZUsUliEpgBWkYDOka6zopLPkcIitATQigRz1e42K6dK6wk2spUc\nhCUe+apdIoBXJIAIT4CdC3jtEyAuwoARLBIcIM8k0kUYLoJFAgTkqES7CINFsEiQgHSViBdh\nqAgWCROQfKrEvAgjRbBIqIBElbgXYZwIFgkXkGQS+yKMEsEiIQMSVOJfhDEiWCRswK5KCosw\nQgSLBA7YO1WSWIQBIlgkeMC2SiKLAB/BIg0A2DJJZhHAI1ikIQDrKgktAnQEizQIYE0lqUUA\njmCRFqd+g0Xi3dI6vAFWTpXaLgLYNoqBIlikpWmw5S/xbkkdLoBFk5ouAtjGvpEiWKSFabEJ\nPfFuKR1ugAWTWi4C2FbzoSJYpIWBFWlBJYuEEcEiLQywSE8mWSSMCBZpaTDPkT7mwSSfI2FE\nsEiLA3jV7jYzlXzVDiOCRRoQcH/5TnYRwCJYpBEBdybpLgJWBIs0JuBTJeVFQIpgkUYFXFTS\nXgScCBZpWEDuV0l2iIACAIhgkQYGtFFp8EUAiWCRhga0MCm6g8wTaZGQAfUqxXcQeSItEjag\nViWEDuEEixRLgABUnipBdIgmWKRYAgigSiWQDoNHsEgcgAqTYDoMHcEisQCKVQLqMHAEi8QD\nKFQJqsOwESwSEaDsVAmrw6gRLNIIgOQNTSUq3RO8H6kjwCJFA3K22OabdEfwDtmeAIsUDMj8\n0odclW4Ef2dDV4BFCgZkf3tKnkoW6SCARQoG5H8NUdapkkU6CGCRogEFX0OUoZLPkQ4CWKRw\nQMnXECWb5Kt2BwEs0qCARJWgOwwTwSIxA5JUAu8wSASLRA1IOVVC7zBGBItEDthXCb/DCBEs\nEj1gz6QROuBHsEgCgG2VxuiAHsEiSQC2VBqlA3YEi6QB2DhVGqYDdASLpAJYNWmgDsARLJIO\nYEWloTrARrBISoBFkwbrABrBIkkBll6URuuAGcEiiQGeTRqvA2KExiKd/sz9Px8JmQ+9PSLr\n3xjw9KI0YAfACG1FOl3+OH3+ywMh86G3p+P6p24nCO9Qsu/hQaWDOsySzmNbpMdhESl5g1t0\nh7KdeHOTjukwS/oQ2yItzvgipW+5Du5QuDe88e9FTwHMkj7GtkiLMxPpr/d5HWsuT3R0jP2p\nCPqhUutAqzNLOsz6tp1MkU5nvyJVJ0ic4lek892HhvyKdBBATyT2c6TLXFTyOdJBgDyRTvM/\nHgiZD709vmpX+G0ln1P8Gyxm46t2aYAskU63P0cWSQbQQqXoDhARWr8he/cPizQEoF6l+A4A\nERq/j3S6fKTBn2wYBlD7K2ghOsRH8Gft1AHn11qVIDoMALBI1IB3QpVJIB3gARaJGnAhVKgE\n0wEcYJGoAZ+EYpWAOkADLBI14EYoPVVC6oAMsEjUgHtCmUpYHXABFokaMCeUmITWARVgkagB\nj4R8lfA6YAIsEjXgmZCrEmIHRIBFogYsEDJPlSA7AAIsEjVgkZClEmgHOIBFagpI3EGQuD+i\nbhvFU4QbLsOktEUo+T24yRN/LFmkgwGJe9oSd+xVbex7jjDDJauUtAgFv5k9Y+KPJYt0LCBx\nl3XiHvKareYLER73gyeqlLIIm0lHfCILABapIWAokaa0UyWLlAawSA0BY4mU9qJkkdIAFqkl\nYJxzpMu/7Jvkc6Q0gEVqChjkqt3dv+yp5Kt2aQCLRA1IIOyYNEQHAIBFogakELZNGqNDPMAi\nUQPSCFsqjdIhGmCRqAGJhI3Ld8N0CAZYJGpAKmHdpHE6xAIsEjUgnbCm0kgdIgEWiRqQQ1hW\naawOcQCLRA3IIix+ZmiwDmEAi0QNyCQsqDRchyCARaIGZBOeTBqwQwjAIlEDCggPKg3ZIQBg\nkagBRYSZSoN2OBxgkagBZYT7U6VROxwNsEjUgFLCTaVxOxwLsEjUgHLC1aSROxwJsEgRgPr9\nSOs3JW6J2p8PlQoA6wkWd0TtDvATeRuLFACo3yG7flPiJt2kKfsFFusJlvboJgzuE3k3Ful4\nQP13NqzflPi1EYlT8gss1hMsfGtE0kEH+0Tej0U6HjCOSCUqWaTCB7FIuYCRRDq/5ppkkQof\nxCJlA0Y5R7oAMlXyOVLZWKR8QOIhtHG39Zvmt7TpkKfSeoLZLakeIT+Rt7FI1IBWEUquOrRK\nALCMFkkd0C5CsUpAHXoCLBI1oGWEQpOgOvQDWCRqQNsIRSqBdegFsEjUgNYRClSC69AHYJGo\nAc0j5J8q4XXoArBI1IAOEXJNQuzQAWCRqAFdIuSphNmhOcAiUQM6RcgxCbVDY4BFogb0ipDx\nogTboS3AIlED+kVINgm4Q0uARaIGdIyQ+qKE3KEhwCJRA7pGSFMJu0MzgEWiBvSNkGQSeIdW\nAItUC9jYGlCQIHWjQclenpJNDDvbNRZVSlyE1ArJ2y26ASzSAYCtzWr5CVK3vpXsLi3ZVre/\ngfBZpcRFSK2QvgGwF8AiHQDY3D6dnSB1M3b6Pu1bhJKN3ut3u93y+KGhxEVIrZBetRfgbJEO\nAFikR5UsUuGDWCR1keY/31mkwgfRFkn+HOkydyolLkJqhWoN6j2ySEcAZs/S/Cnjv2p3NzeV\nEhchtUK1BtUAiyQPODLCylaloTqUAywSNeDYCIsqDdahFGCRqAFHR1gwabgOZQCLRA04PsKT\nSgN2KAFYJGpARIQHlYbskA+wSNSAkAjzU6UxO2QDLBI1ICjCvUqjdsgEWCRqQFiEm0njdsgC\nWCRqQGCEq0ojd8gAWCRqQGiED5XG7pAMsEjUgNgIxb/Bol2EwwAWiRoQHaGJSvHLaJHUAfER\nGpgU3sEiyQMAImT/NucOEQ4AWCRqwIxQso1iPULqBovX6lel+GW0SOqAe0LJxr71CMlb/t4A\ndadK8ctokdQBd4SSrebrEVI3oV8BNSrFL6NFUgfAiFTz8138MlokdQCQSOUqxS+jRVIHgJwj\nXadMpfhltEjqAIyrdrcpOlWKX0aLpA4AiPAAKDAJrsPSWCRqAECEJ0C2SoAdnsciUQMAIiwA\nMk2C7PA4FokaABBhCZD3ooTZ4WEsEjUAIMIyIMck1A6zsUjUAIAIK4CMFyXYDvdjkagBABFW\nAckmAXe4jUWiBgBEWAekvighd/gci0QNAIiwBUhTCbvDZSwSNQAgwiYgySTwDh9jkagBABF2\nAAkqwXd4G4tEDQCIsAvYVWmADhaJHAAQYR+wZ9IIHSwSNwAgQgpgW6UhOlgkagBAhDTAlkpD\ndLBIwID636kyZGIAAAgOSURBVCI8i9BxP1LJb6Se3+1+p9JDtvDnwSKNDWjwe+3vI3TcIbuF\nTgK8zadKj7dEPw8WaWxA+vcqJEXo+J0Nm+gUwGU+THq6ZYgnsoFIr54uczmguuCq2eu0RPTy\n3e5UKs8WMn5FggXovSK9zadKuxHSZ5BXpNKH3h6LpHaOdJnn70eJfh4s0uiAeo/GuWp3N48q\nhT8PFkkeABChBDA3aYgOFokaABChDHCv0hAdLBI1ACBCKeCm0hAdLBI1ACBCMeDzVGmIDhaJ\nGgAQoQJwUWmIDhaJGgAQoQpQ/rtgmkVIBFgkagBAhEpAC5UsUiyBAAAQoRpQr5JFiiUQAAAi\n1Hco+l0wTSNYJHUAQIQWHSpNskixBAIAQIQ2HapUskixBAIAQIRWHSpMskixBAIAQIRmHcpf\nlCxSLIEAABChYYdSkyxSLIEAcFSEjU0ZLTsUvihZpFgCAeCgCFvbBJt2mIpUskixBALAMRE2\nN6637PDnQUpMskixBAIAn0glKlmkWAIBgFGkfJUsUiyBAEB3jvTxQJkfGrJIsQQCANlVu9sD\nZalkkWIJBACACL06ZJhkkWIJBACACP06JKtkkWIJBACACD07JKpkkWIJBACACF07pJ0qWaRY\nAgEAIELnDikqWaRYAgEAIEL3DvsmWaRYAgEAIMIBHfZUskixBAIAQIRDOmyrZJFiCQQAgAjH\ndNg8VbJIsQQCAECEozpsqGSRYgkEAIAIx3VYNckixRIIAAARjuywopJFiiUQAAAiHNthUSWL\nFEsgAABEOLjD0qmSRYolEAAAIhze4VklixRLIAAARAjo8GiSRYolEAAAIoR0mKtkkWIJBACA\nCEEd7lWySLEEAgBAhKgOd6dKFimWQAAAiBDX4dMkixRLIAAARIjscFHJIsUSCAAAEWI7vJtk\nkWIJBACACMEdCr93PzuBRaIGAEQI79DAJIukDgCIEN+h/kXJIqkDACIgdKhVySKpAwAiQHSo\nNMkiqQMAIoB0qFLJIqkDACLAdKhQySKpAwAi4HTI+g0WuQksEjUAIAJSh1KTLJI6ACACVocy\nlSySOgAgAlqHEpUskjoAIAJchwKTLJI6ACACYIdslSySOgAgAmSHTJUskjpgnbDx65PbRsB8\nIvNMskjqgFXCNCWaBNyhDpCjkkVSB6wRpinVJNwO1YB0lSySOsAibQGSP+pgkdQBFmkbkKiS\nRVIH+BxpD5BkkkVSB/iq3T4gQSWLpA4AiDBAh12VLJI6ACDCCB32TpUskjoAIMIYHbZVskjq\nAIAIo3TYMskiqQMAIozTYV0li6QOAIgwUoc1lSySOgAgwlAdVk6VLJI6ACDCYB0WVbJI6gCA\nCMN1WDDJIqkDACIM2OFJJYukDgCIMGSHB5UskjoAIMKYHeanShZJHQAQYdQO9yZZJHUAQIRx\nO9xUskjqAIAII3e4mmSR1AEAEYbucHlRskjqAIAIg3d4N8kiqQMAIozeIfH7USwSNQAgwvgd\n/IpkAEAEgg4WSR4AEEGkg0WiBgBEEOlgkagBABFEOlgkagBABJEOFokaABBBpINFogYARBDp\nYJGoAQARRDpYJGoAQASRDhaJGgAQQaSDRaIGAEQQ6WCRqAEAEUQ6WCRqAEAEkQ4WiRoAEEGk\ng0WiBgBEEOlgkagBABFEOuSJdPr4888sETIfentE1r8zACCCSIcskT78uf3xQMh86O0RWf/O\nAIAIIh1yRDqdLdJgAIAIIh0KfrSzSOMAACKIdKgS6a/3efV45MevSNQAgAgiHSwSNQAggkgH\ni0QNAIgg0sEiUQMAIoh0sEjUAIAIIh38yQZqAEAEkQ7+rB01ACCCSAeLRA0AiCDSwSJRAwAi\niHSwSNQAgAgiHSwSNQAggkgHi0QNAIgg0sEiUQMAIoh0aCCSx+OpF6nTLL/QiUWIT+AI2Qks\nEl6E+ASOkJ3AIuFFiE/gCNkJwETyeMYci+TxNBiL5PE0GIvk8TQYi+TxNBiL5PE0GCiR5ptw\nVSPc7+gPevz4VQhPcMpcBCSRHr4WQjTC9cvWIwMEPz7I85CVwCKhRbh+2XpoguhBeB7yAiCJ\n9D7hqxcd4RQdIPrhQSKcLdLYEQBECj9BeXtVjo6Q+TSgiRS/etEnuefwRQD4ueoEsAwWqXYi\nMwAcxB8T//9OwpdhZJGi1+59QkXKvezaLUj8oyO8MCcPlkjhBxDCExgeAGARACKMLFL4EQzx\nBIYHADg/QXgexhUJ4aea+ATn8CMIYREQImTdG0kkj2fYsUgeT4OxSB5Pg7FIHk+DsUgeT4Ox\nSB5Pg7FIHk+DsUgeT4OxSB5Pg7FIY800ffzfyk2eqPHijzUWCXS8+GPNhi0WKXK8+MPMr5fp\n6+0V6ftp+vLv+f1fvk4vv84WKXa8+KPM79M0TV+vIn2b3ubft3/558//OP22SLHjxR9lvk0v\n598vV5Gm6df5x3R6+x8vv88v0zeLFDte/FHmyx91zr+uIp2mf/57/8/T9PPtP3+xSLHjxR9l\nPjy5ivTfnx/0vvx6+s+eqPHijzKPxvz8Mp1+WCSU8eKPMvMf7d7m3+vJ0p///GKRYseLP8p8\n/7iq8HmO9OP883Kx4e0axHeLFDte/FFm6fL3uz4vb5e/zxYpdrz4w8yvr/dvyH47Tac/Hr39\naPcy/eM3ZKPHiz/4WB+M8dMw+FgkjPHTMPhYJIzx0zD4WCSM8dPg8TQYi+TxNBiL5PE0GIvk\n8TQYi+TxNBiL5PE0GIvk8TQYi+TxNJj/A/EIiC7s8GUaAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "# 基础绘图\n",
    "g <- ggplot(mpg, aes(x=displ, y=hwy)) + \n",
    "geom_point() + \n",
    "geom_smooth(method=\"lm\", se=FALSE) + \n",
    "theme_bw()  \n",
    "g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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REkUpRIkcHPMAkQ8ARCMBNIJF4EPIEQ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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Change Plot Background elements\n",
    "# 改变图像背景\n",
    "g + theme(\n",
    "    # 设置背景色\n",
    "    panel.background = element_rect(fill = 'khaki'),\n",
    "    # 设置图像网格主间隔\n",
    "    panel.grid.major = element_line(colour = \"burlywood\", size=1.5),\n",
    "    # 设置图像网格次间隔\n",
    "    panel.grid.minor = element_line(colour = \"tomato\", size=.25, linetype = \"dashed\"),\n",
    "    # 设置图像边缘\n",
    "    panel.border = element_blank(),\n",
    "    # x轴颜色宽度\n",
    "    axis.line.x = element_line(colour = \"darkorange\", size=1.5, lineend = \"butt\"),\n",
    "    # y轴颜色宽度\n",
    "    axis.line.y = element_line(colour = \"darkorange\", size=1.5)) +\n",
    "labs(title=\"Modified Background\", subtitle=\"How to Change Major and Minor grid, Axis Lines, No Border\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Change Plot Margins \n",
    "g + theme(plot.background=element_rect(fill=\"salmon\"), \n",
    "          # top, right, bottom, left\n",
    "          # 设置图像边缘\n",
    "          plot.margin = unit(c(2, 2, 1, 1), \"cm\")) +\n",
    "labs(title=\"Modified Background\", subtitle=\"How to Change Plot Margin\")  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.2 如何删除主要和次要网格，更改边框，轴标题，文本和标题(How to Remove Major and Minor Grid, Change Border, Axis Title, Text and Ticks）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2rOagkJAggJAjhHggCetYMADnwIICQI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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# Base Plot\n",
    "# 基础绘图\n",
    "g <- ggplot(mpg, aes(x=displ, y=hwy)) + \n",
    "geom_point() + \n",
    "geom_smooth(method=\"lm\", se=FALSE) + \n",
    "theme_bw()\n",
    "\n",
    "g + theme(\n",
    "    # 主网格空白\n",
    "    panel.grid.major = element_blank(), \n",
    "    # 次网格空白\n",
    "    panel.grid.minor = element_blank(), \n",
    "    # 边缘空白\n",
    "    panel.border = element_blank(),\n",
    "    # 标题空白\n",
    "    axis.title = element_blank(), \n",
    "    # 轴文字空白\n",
    "    axis.text = element_blank(),\n",
    "    axis.ticks = element_blank()) +\n",
    "\n",
    "labs(title=\"Modified Background\", subtitle=\"How to remove major and minor axis grid, border, axis title, text and ticks\") "
   ]
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    "### 6.3 主题组件的继承结构(Inheritance Structure of Theme Components)\n",
    "![img](http://r-statistics.co/screenshots/ggplot_tutorial_customize_theme_29.png)"
   ]
  }
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